dc.creatorGaudric, Julien
dc.creatorPoliti, María Teresa
dc.creatorFernández, Juan Manuel Francisco
dc.creatorCarre, Emmanuelle
dc.creatorCapurro, Claudia Graciela
dc.creatorFullana, Jose Maria
dc.date.accessioned2021-02-17T20:06:17Z
dc.date.accessioned2022-10-14T21:36:32Z
dc.date.available2021-02-17T20:06:17Z
dc.date.available2022-10-14T21:36:32Z
dc.date.created2021-02-17T20:06:17Z
dc.date.issued2019-11
dc.identifierGaudric, Julien; Politi, María Teresa; Fernández, Juan Manuel Francisco; Carre, Emmanuelle; Capurro, Claudia Graciela; et al.; Calculation of the aortic arch angles from three-dimensional reconstructions of computed tomography scans: Comparison between an automated program and visual assessment; Pergamon-Elsevier Science Ltd; Computers In Biology And Medicine; 114; 103440; 11-2019; 1-37
dc.identifier0010-4825
dc.identifierhttp://hdl.handle.net/11336/125861
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4309361
dc.description.abstractBackground: The curvature of the aortic arch is associated with the risk of endoleak formation after thoracic endovascular aortic repair (TEVAR). However, the adequate assessment of the angles of the aorta continues to represent a major difficulty. We developed a new program based on three-dimensional (3D) reconstructions of computed tomography (CT) scans to objectively identify the location of the aortic points of maximum curvature, and to automatically calculate the main aortic arch angles, comparing final values with visual assessment methods. Methods: This is a cross-sectional validation study of a convenience sample of subjects with multislice CT angiography scans of the thoracic aorta from an institutional imaging database. The center lumen line (CLL) of the aorta was determined semi-automatically using Endosize software. The points of maximum curvature on the CLL were determined by two methods: visually by two physicians and through a custom program. Results: The study enrolled 9 subjects: 4 with thoracic aneurysms and 5 with normal aortas. The inter-observer and inter-method correlation, agreement and reliability for each of the 3D spatial coordinates of the points of maximum curvature were appropriate. However, the aortic angles determined by visual assessment showed a very low to moderate correlation and reliability with those determined by our custom program. Conclusion: An automated custom program can reflect clinician's intuitive assessment of the location of points of maximum curvature and translate it into aortic angles with an apparently higher precision, reducing potential error and user time.
dc.languageeng
dc.publisherPergamon-Elsevier Science Ltd
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.compbiomed.2019.103440
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0010482519303178?via%3Dihub
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectMULTIDETECTOR COMPUTED TOMOGRAPHY
dc.subjectREPRODUCIBILITY
dc.subjectTHORACIC AORTA
dc.subjectTHORACIC AORTIC ANEURYSM
dc.subjectVALIDATION STUDIES
dc.titleCalculation of the aortic arch angles from three-dimensional reconstructions of computed tomography scans: Comparison between an automated program and visual assessment
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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